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Authors: Catarina Peixoto ; Hugo Peixoto ; José Machado ; António Abelha and Manuel F. Santos

Affiliation: University of Minho, Portugal

Keyword(s): Data Mining, Continuous Ambulatory Peritoneal Dialysis, Weka, Classification Algorithms.

Abstract: In this article, Data Mining classification techniques are employed, in order to classify as normal or not-normal the iron values from a patients’ blood analysis. The dataset used is relative to patients that were subjected to Continuous Ambulatory Peritoneal Dialysis (CAPD) treatment. Weka software was used for testing several classification algorithms into such data set. The main purpose is finding the best suitable classification algorithm, with a pleasing performance in classifying the instances of the data, whereas preserving low rate of false positives. The IBk algorithm achieved the best performance, being able to correctly classify 97.39% of the instances.

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Paper citation in several formats:
Peixoto, C.; Peixoto, H.; Machado, J.; Abelha, A. and F. Santos, M. (2018). Iron Value Classification in Patients Undergoing Continuous Ambulatory Peritoneal Dialysis using Data Mining. In Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health - HSP; ISBN 978-989-758-299-8; ISSN 2184-4984, SciTePress, pages 285-290. DOI: 10.5220/0006820802850290

@conference{hsp18,
author={Catarina Peixoto. and Hugo Peixoto. and José Machado. and António Abelha. and Manuel {F. Santos}.},
title={Iron Value Classification in Patients Undergoing Continuous Ambulatory Peritoneal Dialysis using Data Mining},
booktitle={Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health - HSP},
year={2018},
pages={285-290},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006820802850290},
isbn={978-989-758-299-8},
issn={2184-4984},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health - HSP
TI - Iron Value Classification in Patients Undergoing Continuous Ambulatory Peritoneal Dialysis using Data Mining
SN - 978-989-758-299-8
IS - 2184-4984
AU - Peixoto, C.
AU - Peixoto, H.
AU - Machado, J.
AU - Abelha, A.
AU - F. Santos, M.
PY - 2018
SP - 285
EP - 290
DO - 10.5220/0006820802850290
PB - SciTePress

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